Road Work Detection Suppression in High False-Positive Map Areas
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing road work detection systems face challenges in accurately identifying road work events due to false positives, particularly in areas with high false positive rates, such as toll plazas, highway exit ramps, and school zones, where indicators like construction cones and barricades are often present but not indicative of active road work.
Innovation Solution
A method and apparatus that utilize map data to adjust criteria for identifying road work by applying suppression methods based on the type of map area, dismissing specific road work objects or increasing the threshold proportion of positive indications in high false positive areas, to accurately determine the presence or absence of road work and provide route guidance or semi-autonomous vehicle control.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If uniform detection criteria are applied across all road network areas, then the detection system is simple to implement, but false positive rates increase in specific areas like toll plazas, highway exits, and school zones
Solution Approach 1:
The patent applies different detection criteria to different map area types. High false positive areas (toll plazas, highway exits, school zones) receive customized suppression rules that differ from standard road segments. This local differentiation resolves the contradiction by making the system complex only where necessary to improve accuracy.
Solution Approach 2:
The patent modifies detection parameters (thresholds, object types considered) based on map area type. By changing detection parameters locally rather than uniformly, the system achieves higher precision in problematic areas without requiring complete system redesign.
2Reliability
If map data refresh rates are increased to improve temporal relevance, then road work information becomes more current, but data lag and outdated information persist due to refresh rate limitations
Solution Approach 1:
The patent uses map area type classification as a preliminary action to preemptively adjust detection criteria before false positives occur. By pre-identifying high false positive areas and applying appropriate suppression rules, the system compensates for data lag without requiring faster refresh rates.
3Measurement precision
If detection criteria are made more sensitive to identify all road work indicators, then detection coverage improves, but false positive detections increase in areas where indicators are present but not indicative of active road work
Solution Approach 1:
The patent applies location-specific detection sensitivity. In high false positive areas, the system reduces sensitivity by applying suppression rules that dismiss certain object types or require higher confirmation thresholds. In other areas, standard sensitivity is maintained, resolving the contradiction between detection coverage and false positive reduction.
Solution Approach 2:
The patent segments the road network into different map area types (toll plazas, highway exits, school zones, standard roads) and applies different detection criteria to each segment. This segmentation allows the system to optimize detection sensitivity for each area type independently.
Data Source
AI summary
Embodiments described herein may provide a method for using map data to alter criteria for the identification of road work in locations where false positives are more likely. Methods may include: receiving probe data from a plurality of probe apparatuses traveling within a road network; determining, from the probe data captured at a first location, an indication of road work; determining a type of map area of the first location; applying a suppression method to the probe data captured at the first location in response to the type of map area of the first location corresponding to an area having a relatively high false positive rate of indications of road work; and determining, based on the suppression method to the probe data captured at the first location, the presence or absence of road work occurring at the first location.